Communicating Data Clearly describes how to draw clear, concise, accurate graphs that are easier to understand than many of the graphs one sees today. The tutorial emphasizes how to avoid common mistakes that produce confusing or even misleading graphs. Graphs for one, two, three, and many variables are covered as well as general principles for creating effective graphs.
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This workshop is a jumpstart lesson on how to get from a blank page and a pile of data to a useful data visualization. We'll focus on the design process, not specific tools. Bring your sample data and paper or a laptop; leave with new visualization ideas.
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In this session we will discuss how subjectivity can be encoded in data, and how this data can be used to help users experience a city more gracefully. We'll create maps and visualizations that re-enforce the ways users engage with cities and augment these experiences using social and crowd-sourced data sources, analytics and both artistic and literal visualization to convey this information.
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Data has been locked in a mindset of rows and columns. Our brains are trapped by database schemas. To get out of that predisposition and communicate visually requires new thinking. This session covers techniques for reframing our thoughts about data, how to describe data, forming a narrative, and coming up with visual solutions.
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MLB captures 10Tb of game data every year. While valuable data, lessons were quickly learned that effective use of this data required different visual front-ends for fans, players, coaches and scouts. The ability to adapt and address different audiences helped the success of this project and can help other big data projects.
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hGraph is a compelling, standardized visual representation of a patient's health status for clinicians and patients. Designed to increase awareness of the individual's factors that can affect one's health and lead to improved outcomes, hGraph aggregates all of an individual's health metrics in one location, in a single picture.
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"Data visualization" means different things to different people. Some say that to be effective, visualizations need to be clear, concise and accurate. Others say that to be effective, visualizations need to be eye-catching, engaging, and innovative. Naomi Robbins will moderate a panel composed of Jon Peltier and Nigel Homes.
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This session presents a simple analytical and generative toolkit for interface design. It provides designers with an effective starting point for creating satisfying and relevant user experiences for Big Data and discovery interfaces. The toolkit helps designers understand and describe users' activities and needs, and then define and design the interactions and interfaces necessary.
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An increasing number of organizations are embracing data to drive intelligent decisions. For many industries, this is a monumental shift in method and culture. Data communication strategies come in many flavors, from static metric reports to immersive data experiences. In this session I present a user-centered framework for designing or evaluating data delivery methods.
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You want to publish your data for clients, developers or the general public to use and enjoy. But which file formats to use? Which standards? How to provide an API? Should you visualize the data? And if so, how? DataMarket has been on the receiving end of data from many of the World's key data providers and is now helping leading information companies publishing theirs. Here we share our findings.
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As data scientists, we encounter large networks all the time. Recommendations, social ties, transactions, and other types of data are naturally represented as networks. To understand these networks, metrics help, but visualization is crucial. This talk will focus on tools, techniques, and frameworks to visualize networks cleanly, avoiding or at least minimizing “hairballs”.
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Advances in browser and mobile technologies have made the visualization and interaction of data on web a viable alternative to traditional tools used to visually explore data.
Panelists will discuss the current state of web data visualization, as well as novel approaches made possible by recent advances.
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